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Implied Volatility from Asian Options Via Monte Carlo Methods

Christian-Oliver Ewald
Center for Dynamic Macroeconomic Analysis, University of St. Andrews, School of Economics and Finance; University of Sydney, School of Mathematics and Statistics

Zhaojun Yang
Hunan University - School of Economics and Trade

Yajun Xiao
Goethe University Frankfurt - Department of Finance


July 2006


Abstract:     
We discuss how implied volatilities for OTC traded Asian options can be computed by combining Monte Carlo techniques with the Newton method in order to solve nonlinear equations. The method relies on accurate and fast computation of the corresponding vegas of the option. In order to achieve this we propose the use of logarithmic derivatives instead of the classical approach. Our simulations document that the proposed method shows far better results than the classical approach. We also discuss the issue of variance reduction in order to optimize our method.

Keywords: implied volatility, Monte Carlo simulation, Asian options, exotic options

JEL Classifications: C00, C15, C19, C51, C61

Working Paper Series

Date posted: January 19, 2007 ; Last revised: January 03, 2008

Suggested Citation

Ewald, Christian-Oliver, Yang, Zhaojun and Xiao, Yajun, Implied Volatility from Asian Options Via Monte Carlo Methods (July 2006). Available at SSRN: http://ssrn.com/abstract=958037


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Contact Information

Christian-Oliver Ewald (Contact Author)
Center for Dynamic Macroeconomic Analysis, University of St. Andrews, School of Economics and Finance ( email )
Castlecliffe
The Scores
St. Andrews, Fife KY16 9AL
United Kingdom
+44(0)1334 462435 (Phone)
HOME PAGE: http://www.maths.usyd.edu.au/u/ewald/
University of Sydney, School of Mathematics and Statistics ( email )
New South Wales
Sydney, NSW 2006
Australia
+ 61 2 9351 5778 (Phone)
HOME PAGE: http://www.maths.usyd.edu.au/u/ewald/
Yajun Xiao
Goethe University Frankfurt - Department of Finance ( email )
Frankfurt am Main Germany
Zhaojun Yang
Hunan University - School of Economics and Trade ( email )
Changsha 410079, Hunan China
+86(0)133 0847 2866 (Phone)
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